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Data Engineer

Position Type Contract
No. of opening(s) 4
Location Malaysia
Posted 30-October-2019

If you are an experienced and passionate Data Engineer who enjoys working in a highly entrepreneurial work environment, this is the opportunity for you. Excellent career opportunity to manage, design, develop and deliver the data warehousing environment for a fast-growing organisation in Malaysia!

Skill-set Requirement
  • Bachelors in IT, Computer Science or Engineering;
  • At least 3 - 5 years of experience in data warehouse, operational data store and large scale data architecture implementations in Unix/ Windows;
  • Experienced in atleast one of the platforms listed below:
  • 1 - 3 years of big data technologies e.g. Hadoop, Hive, Spark, Sqoop, Kafka, Spark Streaming, cloud platform such as AWS technologies including S3, EMR, Redshift, Glue, Athena or Azure Data Lake, SQL Data Warehouse, Analysis Services and Power BI;
  • Strong hands-on development experience with Talend ETL/ELT (or similar tools such as SSIS, AWS Glue) to transform complex data structure in a multidata source environment;
  • Experienced in handling and processing different types of data (structured, semi-structured and unstructured);
  • Experience on Master Data Management (MDM), especially on Customer SCV MDM on products such as Experian, Informatica and etc.
  • Good understanding on Metadata Management in terms of process-wise and technical implementation. Preferable products having experience on are ASG, Collibra, Alation, Alex and etc;
  • Strong knowledge in handling different database technologies (RDBMS, NoSQL and Columnar);
  • Extensive experience working with data visualization (e.g. Tableau, PowerBI, Qlikview);
  • Proven track record of solving challenging problems by applying advanced analytics;
  • Good analytical ability, conceptual thinking, planning and organisational skills.

Desirable Skills
  • Data certifications;
  • Experience in financial industry is beneficial.
Job Responsibilities
  • Design, develop, document and implement end-to-end data pipelines and data integration processes, both batch and real time;
  • Perform data analysis, data profiling, data cleansing, data lineage, data mapping and data transformation;
  • Develop ETL / ELT jobs and workflows, and deployment of data solutions;
  • Monitor, recommend, develop and implement ways to improve data quality including reliability, efficiency and cleanliness to optimize and fine tune processes;
  • Recommend, execute and deliver best practices in data management and data lifecycle processes, including modular development of data processes, coding and configuration standards, error handling and notification standards, auditing standards, and data archival standards;
  • Prepare test data, create and execute test plans, test cases and test scripts;
  • Collaborate with different stakeholders to understand data needs, gather requirements and implement data solutions to deliver business goals;
  • Provide technical support for any data issues and change requests, document all investigations, findings, recommendations and resolutions.
Role Compatibility
Application Development, Data Warehousing
Level Compatibility
Developer/Analyst Programmer, Lead Consultant, Team/Technical Lead, Technical Consultant
This job is listed under Data & Information Management and Project & Service Management Community

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Company Details

Sciente Consulting Pte Ltd
Sciente Consulting Pte Ltd

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